Using a so-called “data-mining” method, it is possible to automatically find previously unknown side-effects of drugs in the huge WHO database of side-effect reports. This is demonstrated in a doctoral dissertation by Andrew Bate at Umeå University in Sweden.
The use of pharmaceuticals sometimes causes side-effects. By gathering reports about suspected cases of side-effects, it is possible to detect previously unknown ties between a certain drug and a side-effect at an early stage, so-called “signals.” The World Health Organization, WHO, database is the world’s largest collection of such side-effect reports. Today the database, created as early as 1968, contains more than 2.8 million case reports from 70 countries around the world.
To analyze such a huge amount of data to discover hitherto unknown patterns can be likened to searching for a needle in a haystack, and it is virtually impossible to do manually. The dissertation describes the use of a so-called “data-mining” method to automatically find signals at an early stage with the help of computers. The method is called BCPNN (Bayesian Confidence Propagation Neural Network) and employs a special type of statistic, a Bayesian statistic, in combination with so-called neural networks. The dissertation shows how BCPNN has been elaborated and tested for routine use in signal detection, refinement of signals, and finding complex patterns in the WHO database. The utility of the results is directly related to the quality of the data in the database, and the method should be used to find new suspected correlations (between a drug and a reaction) rather than to assess whether the drug in question actually caused the side-effect. That determination still relies on clinical analyses of the case reports as such.
Hans Fällman | alfa
Researchers develop high-performance cancer vaccine using novel microcapsules
25.05.2020 | Chinese Academy of Sciences Headquarters
Blood flow recovers faster than brain in micro strokes
25.05.2020 | Rice University
Microelectronics as a key technology enables numerous innovations in the field of intelligent medical technology. The Fraunhofer Institute for Biomedical Engineering IBMT coordinates the BMBF cooperative project "I-call" realizing the first electronic system for ultrasound-based, safe and interference-resistant data transmission between implants in the human body.
When microelectronic systems are used for medical applications, they have to meet high requirements in terms of biocompatibility, reliability, energy...
Thomas Heine, Professor of Theoretical Chemistry at TU Dresden, together with his team, first predicted a topological 2D polymer in 2019. Only one year later, an international team led by Italian researchers was able to synthesize these materials and experimentally prove their topological properties. For the renowned journal Nature Materials, this was the occasion to invite Thomas Heine to a News and Views article, which was published this week. Under the title "Making 2D Topological Polymers a reality" Prof. Heine describes how his theory became a reality.
Ultrathin materials are extremely interesting as building blocks for next generation nano electronic devices, as it is much easier to make circuits and other...
Scientists took a leukocyte as the blueprint and developed a microrobot that has the size, shape and moving capabilities of a white blood cell. Simulating a blood vessel in a laboratory setting, they succeeded in magnetically navigating the ball-shaped microroller through this dynamic and dense environment. The drug-delivery vehicle withstood the simulated blood flow, pushing the developments in targeted drug delivery a step further: inside the body, there is no better access route to all tissues and organs than the circulatory system. A robot that could actually travel through this finely woven web would revolutionize the minimally-invasive treatment of illnesses.
A team of scientists from the Max Planck Institute for Intelligent Systems (MPI-IS) in Stuttgart invented a tiny microrobot that resembles a white blood cell...
By studying the chemical elements on Mars today -- including carbon and oxygen -- scientists can work backwards to piece together the history of a planet that once had the conditions necessary to support life.
Weaving this story, element by element, from roughly 140 million miles (225 million kilometers) away is a painstaking process. But scientists aren't the type...
Study co-led by Berkeley Lab reveals how wavelike plasmons could power up a new class of sensing and photochemical technologies at the nanoscale
Wavelike, collective oscillations of electrons known as "plasmons" are very important for determining the optical and electronic properties of metals.
19.05.2020 | Event News
07.04.2020 | Event News
06.04.2020 | Event News
25.05.2020 | Medical Engineering
25.05.2020 | Information Technology
25.05.2020 | Information Technology